What should I eat next? Users have challenges choosing the best food for them on the go
User Pain Points: Frustrations in scheduling, organizing and making healthy decisions

Onboarding/Opening Screen

Scratching Our Own Itch: The EatLink project was born out of personal experiences and challenges. Through user interviews, market research, empathy mapping, and the creation of user personas and journey maps, we identified a common need for easier decision-making in healthy eating.
Making Healthy Eating Seamless: The project moved through several phases:
- Ideation: Brainstorming solutions that integrate seamlessly into users' lives.
- Sketching and Prototyping: Visualizing solutions and creating tangible models to test ideas.
- Business Model Canvas: Structuring the commercial viability of the application.
- Usability Testing: Ensuring that the application meets user expectations and usability standards.

Initial Prototyping and User Testing:

Frontend Prototype: We started with an initial frontend prototype, designed to visualize the user interface and interactions, which was crucial for aligning the development team's understanding of the project goals.

Testing with Recipe Option: Prototype included a recipe option that was tested with users, receiving a predominantly lukewarm response. The feedback indicated that while the idea was appreciated, it did not fully meet user expectations or needs.

Iterative Development Based on Feedback:

Shift to Customized Menu Items: Insights from the initial testing led to a pivot towards providing customized menu items based on user location. This adjustment aimed to offer more immediate and practical value to users by suggesting accessible dining options that align with their dietary preferences.

Addressing Feasibility Challenges:

Grocery List Integration: Development faced feasibility challenges, particularly in maintaining an up-to-date and comprehensive database of menu items and recipes.
To address this and still meet discovered user needs, we transitioned the focus towards generating a personalized grocery list. This feature leverages user dietary preferences to suggest grocery items, enabling users to prepare meals themselves, which proved to be a more scalable and feasible solution.

Continuous User Engagement:

Ongoing Interviews and Feedback: Throughout this iterative process, continuous user interviews and feedback sessions were essential. They helped us stay aligned with user needs and expectations, ensuring that each pivot and feature adjustment was grounded in actual user experiences and requirements.

5 tests in 1 month: Achieved rapid insight and pivot opportunities in a short amount of time
Deep understanding of our customer and market: from a quantitative and qualitative test data

Strong Indicators of curiosity, interest, and commitment from a majority of the target user group of rookie dieters.

Enhance AI and Automation Capabilities: To improve personalization and adaptiveness of dietary recommendations.

Expand Market Reach: Strategies to broaden user base and explore new market segments.
Feature Integration: Introduce social sharing features to enhance user engagement and community building.